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Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa

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2018

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Gesellschaft für Informatik e.V.

Zusammenfassung

The amount of data and the importance of simple, scalable and fault tolerant architectures for processing the data keeps increasing. Big Data being a highly influential topic in numerous businesses has evolved a comprehensive interest in this data. The Lambda as well as the Kappa Architecture represent state-of-the-art real-time data processing architectures for coping with massive data streams. This paper investigates and compares both architectures with respect to their capabilities and implementation. Moreover, a case study is conducted in order to gain more detailed insights concerning their strengths and weaknesses.

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Feick, Martin; Kleer, Niko; Kohn, Marek (2018): Fundamentals of Real-Time Data Processing Architectures Lambda and Kappa. SKILL 2018 - Studierendenkonferenz Informatik. Bonn: Gesellschaft für Informatik e.V.. PISSN: 1614-3213. ISBN: 978-3-88579-448-6. pp. 55-66. Multimedia und Datenverarbeitung. Berlin. 26.-27. September 2018

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